23 research outputs found
Full Issue: Volume 2, Number 1 Spring 2009
Complete .pdf file of Volume 2, Number 1 of The Science Journal of the Lander College of Arts and Sciences published Spring 2009
SeMoM: a semantic middleware for IoT healthcare applications
De nos jours, l'internet des objets (IoT) connaît un intérêt considérable tant de la part du milieu universitaire que de l'industrie. Il a contribué à améliorer la qualité de
vie, la croissance des entreprises et l'efficacité dans de multiples domaines. Cependant, l'hétérogénéité des objets qui peuvent être connectés dans de tels environnements, rend
difficile leur interopérabilité. En outre, les observations produites par ces objets sont générées avec différents vocabulaires et formats de données. Cette hétérogénéité de
technologies dans le monde IoT rend nécessaire l'adoption de solutions génériques à l'échelle mondiale. De plus, elle rend difficile le partage et la réutilisation des données
dans d'autres buts que ceux pour lesquels elles ont été initialement mises en place. Dans cette thèse, nous abordons ces défis dans le contexte des applications de santé. Pour
cela, nous proposons de transformer les données brutes issues de capteurs en connaissances et en informations en s'appuyant sur les ontologies. Ces connaissances vont être
partagées entre les différents composants du système IoT.
En ce qui concerne les défis d'hétérogénéité et d'interopérabilité, notre contribution principale est une architecture IoT utilisant des ontologies pour permettre le déploiement
d'applications IoT sémantiques. Cette approche permet de partager les observations des capteurs, la contextualisation des données et la réutilisation des connaissances et des
informations traitées. Les contributions spécifiques comprennent :
* Conception d'une ontologie " Cognitive Semantic Sensor Network ontology (CoSSN) " : Cette ontologie vise à surmonter les défis d'interopérabilité sémantiques introduits par la
variété des capteurs potentiellement utilisés. CoSSN permet aussi de modéliser la représentation des connaissances des experts.
* Conception et mise en œuvre de SeMoM: SeMoM est une architecture flexible pour l'IoT intégrant l'ontologie CoSSN. Elle s'appuie sur un middleware orienté message (MoM) pour
offrir une solution à couplage faible entre les composants du système. Ceux-ci peuvent échanger des données d'observation sémantiques de manière flexible à l'aide du paradigme
producteur/consommateur.
Du point de vue applicatif, nous sommes intéressés aux applications de santé. Dans ce domaine, les approches spécifiques et les prototypes individuels sont des solutions
prédominantes ce qui rend difficile la collaboration entre différentes applications, en particulier dans un cas de patients multi-pathologies. En ce qui concerne ces défis, nous
nous sommes intéressés à deux études de cas: 1) la détection du risque de développement des escarres chez les personnes âgées et 2) la détection des activités de la vie
quotidienne (ADL) de personnes pour le suivi et l'assistance Ă domicile :
* Nous avons développé des extensions de CoSSN pour décrire chaque concept en lien avec les deux cas d'utilisation. Nous avons également développé des applications spécifiques
grâce à SeMoM qui mettent en œuvre des règles de connaissances expertes permettant d'évaluer et de détecter les escarres et les activités.
* Nous avons mis en œuvre et évaluer le framework SeMoM en se basant sur deux expérimentations. La première basée sur le déploiement d'un système ciblant la détection des
activités ADL dans un laboratoire d'expérimentation pour la santé (le Connected Health Lab). La seconde est basée sur le simulateur d'activités ADLSim développé par l'Université
d'Oslo. Ce simulateur a Ă©tĂ© utilisĂ© pour effectuer des tests de performances de notre solution en gĂ©nĂ©rant une quantitĂ© massive de donnĂ©es sur les activitĂ©s d'une personne Ă
domicile.Nowadays, the adoption of the Internet of Things (IoT) has received a considerable interest from both academia and industry. It provides enhancements in quality of life,
business growth and efficiency in multiple domains. However, the heterogeneity of the "Things" that can be connected in such environments makes interoperability among them a
challenging problem. Moreover, the observations produced by these "Things" are made available with heterogeneous vocabularies and data formats. This heterogeneity prevents
generic solutions from being adopted on a global scale and makes difficult to share and reuse data for other purposes than those for which they were originally set up. In this
thesis, we address these challenges in the context of healthcare applications considering how we transform raw data to cognitive knowledge and ontology-based information shared
between IoT system components.
With respect to heterogeneity and integration challenges, our main contribution is an ontology-based IoT architecture allowing the deployment of semantic IoT applications. This
approach allows sharing of sensors observations, contextualization of data and reusability of knowledge and processed information. Specific contributions include:
* Design of the Cognitive Semantic Sensor Network ontology (CoSSN) ontology: CoSSN aims at overcoming the semantic interoperability challenges introduced by the variety of
sensors potentially used. It also aims at describing expert knowledge related to a specific domain.
* Design and implementation of SeMoM: SeMoM is a flexible IoT architecture built on top of CoSSN ontology. It relies on a message oriented middleware (MoM) following the
publish/subscribe paradigm for a loosely coupled communication between system components that can exchange semantic observation data in a flexible way.
From the applicative perspective, we focus on healthcare applications. Indeed, specific approaches and individual prototypes are preeminent solutions in healthcare which
straighten the need of an interoperable solution especially for patients with multiple affections. With respect to these challenges, we elaborated two case studies 1) bedsore
risk detection and 2) Activities of Daily Living (ADL) detection as follows:
* We developed extensions of CoSSN to describe each domain concepts and we developed specific applications through SeMoM implementing expert knowledge rules and assessments of
bedsore and human activities.
* We implemented and evaluated the SeMoM framework in order to provide a proof of concept of our approach. Two experimentations have been realized for that target. The first is
based on a deployment of a system targeting the detection of ADL activities in a real smart platform. The other one is based on ADLSim, a simulator of activities for ambient
assisted living that can generate a massive amount of data related to the activities of a monitored person
Hope and Uncertainty in Health and Medicine: Imagining the Pragmatics of Medical Potential
In health and medicine, imagining the future is essential in giving meaning to the past and the present and for propelling people into action. This is true not only at the level of individuals as they envision and carry out everyday activities and long-term plans but also for institutional practices framed by and unfolding within various socio-political ecologies and transfigurations. Hope and uncertainty are critical affective and knowledge-related modalities of such imaginations and assume vital meanings in policing, managing, and experiencing health, illness, and well-being. This volume brings together contributions from medical anthropologists who address this theme across various medical spheres, including the pragmatics of hope and uncertainty, the techno-sphere, health management, and individual and socially distributed emotions
Southern Accent September 2007 - April 2008
Southern Adventist University\u27s newspaper, Southern Accent, for the academic year of 2007-2008.https://knowledge.e.southern.edu/southern_accent/1085/thumbnail.jp
Bowdoin Orient v.133, no.1-24 (2003-2004)
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Epidemiology of Injury in English Women's Super league Football: A Cohort Study
INTRODUCTION: The epidemiology of injury in male professional football has been well documented (Ekstrand, Hägglund, & Waldén, 2011) and used as a basis to understand injury trends for a number of years. The prevalence and incidence of injuries occurring in womens super league football is unknown. The aim of this study is to estimate the prevalence and incidence of injury in an English Super League Women’s Football squad. METHODS: Following ethical approval from Leeds Beckett University, players (n = 25) signed to a Women’s Super League Football club provided written informed consent to complete a self-administered injury survey. Measures of exposure, injury and performance over a 12-month period was gathered. Participants were classified as injured if they reported a football injury that required medical attention or withdrawal from participation for one day or more. Injuries were categorised as either traumatic or overuse and whether the injury was a new injury and/or re-injury of the same anatomical site RESULTS: 43 injuries, including re-injury were reported by the 25 participants providing a clinical incidence of 1.72 injuries per player. Total incidence of injury was 10.8/1000 h (95% CI: 7.5 to 14.03). Participants were at higher risk of injury during a match compared with training (32.4 (95% CI: 15.6 to 48.4) vs 8.0 (95% CI: 5.0 to 10.85)/1000 hours, p 28 days) of which there were three non-contact anterior cruciate ligament (ACL) injuries. The epidemiological incidence proportion was 0.80 (95% CI: 0.64 to 0.95) and the average probability that any player on this team will sustain at least one injury was 80.0% (95% CI: 64.3% to 95.6%) CONCLUSION: This is the first report capturing exposure and injury incidence by anatomical site from a cohort of English players and is comparable to that found in Europe (6.3/1000 h (95% CI 5.4 to 7.36) Larruskain et al 2017). The number of ACL injuries highlights a potential injury burden for a squad of this size. Multi-site prospective investigations into the incidence and prevalence of injury in women’s football are require
Bowdoin Orient v.132, no.1-24 (2002-2003)
https://digitalcommons.bowdoin.edu/bowdoinorient-2000s/1003/thumbnail.jp
Bowdoin Orient v.135, no.1-25 (2005-2006)
https://digitalcommons.bowdoin.edu/bowdoinorient-2000s/1006/thumbnail.jp